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Greg Yang
Greg Yang
xAI
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Leto
Provably robust deep learning via adversarially trained smoothed classifiers
H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang
Advances in Neural Information Processing Systems, 11292-11303, 2019
6182019
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
R Novak, L Xiao, Y Bahri, J Lee, G Yang, DA Abolafia, J Pennington, ...
3912018
Scaling limits of wide neural networks with weight sharing: Gaussian process behavior, gradient independence, and neural tangent kernel derivation
G Yang
arXiv preprint arXiv:1902.04760, 2019
3132019
A convex relaxation barrier to tight robustness verification of neural networks
H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang
Advances in Neural Information Processing Systems, 9835-9846, 2019
2652019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
G Yang
Advances in Neural Information Processing Systems, 9947-9960, 2019
240*2019
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
G Yang, EJ Hu
International Conference on Machine Learning, 11727-11737, 2021
2352021
Randomized smoothing of all shapes and sizes
G Yang, T Duan, JE Hu, H Salman, I Razenshteyn, J Li
International Conference on Machine Learning, 10693-10705, 2020
2302020
Mean Field Residual Networks: On the Edge of Chaos
G Yang, S Schoenholz
Advances in neural information processing systems, 7103-7114, 2017
2202017
A mean field theory of batch normalization
G Yang, J Pennington, V Rao, J Sohl-Dickstein, SS Schoenholz
arXiv preprint arXiv:1902.08129, 2019
2132019
High-dimensional asymptotics of feature learning: How one gradient step improves the representation
J Ba, MA Erdogdu, T Suzuki, Z Wang, D Wu, G Yang
Advances in Neural Information Processing Systems 35, 37932-37946, 2022
1672022
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
G Yang, EJ Hu, I Babuschkin, S Sidor, X Liu, D Farhi, N Ryder, J Pachocki, ...
arXiv preprint arXiv:2203.03466, 2022
1652022
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
H Salman, M Sun, G Yang, A Kapoor, JZ Kolter
Advances in Neural Information Processing Systems 33, 2020
1602020
Tensor Programs II: Neural Tangent Kernel for Any Architecture
G Yang
arXiv preprint arXiv:2006.14548, 2020
1532020
Feature Learning in Infinite-Width Neural Networks
G Yang, EJ Hu
arXiv preprint arXiv:2011.14522, 2020
1312020
A Fine-Grained Spectral Perspective on Neural Networks
G Yang, H Salman
arXiv preprint arXiv:1907.10599, 2019
1062019
Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics
G Yang, E Littwin
arXiv preprint arXiv:2105.03703, 2021
732021
Tensor Programs III: Neural Matrix Laws
G Yang
arXiv preprint arXiv:2009.10685, 2020
552020
3DB: A Framework for Debugging Computer Vision Models
G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ...
arXiv preprint arXiv:2106.03805, 2021
492021
NAIL: A General Interactive Fiction Agent
M Hausknecht, R Loynd, G Yang, A Swaminathan, JD Williams
arXiv preprint arXiv:1902.04259, 2019
432019
Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks
G Yang, D Yu, C Zhu, S Hayou
arXiv preprint arXiv:2310.02244, 2023
422023
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